AI Summary
Review AI-generated technical solutions for cloud architecture, DevOps workflows, and IT infrastructure. Evaluate code, configurations, and system designs for correctness, security, and best practices. Provide structured feedback to improve AI accuracy in software engineering and IT domains.
Key Highlights
Review AI-generated technical solutions
Evaluate code, configurations, and system designs
Provide structured feedback to improve AI accuracy
Key Responsibilities
Review AI-generated technical solutions for cloud architecture, DevOps workflows, and IT infrastructure
Evaluate code, configurations, and system designs for correctness, security, and best practices
Identify errors, misconfigurations, and gaps in AI-generated infrastructure guidance
Test and validate solutions across AWS, GCP, Azure, and on-premises environments
Provide structured feedback to improve AI accuracy in software engineering and IT domains
Technical Skills Required
Benefits & Perks
Hourly compensation: $20-$40
Remote work
Flexible schedule
Nice to Have
Experience with monitoring and observability tools (Datadog, Prometheus, CloudWatch)
Knowledge of networking, security, or compliance frameworks
Background in system design or architecture reviews
Job Description
IT Infrastructure & Cloud Reviewer (AI Training)
About The Role
We're looking for experienced software engineers, DevOps engineers, systems administrators, and IT architects to help evaluate and improve AI systems that generate technical solutions for real-world infrastructure challenges. Your hands-on expertise ensures AI produces accurate, production-ready guidance.
- Organization: Alignerr
- Type: Hourly Contract
- Compensation: $20–$40 /hour
- Location: Remote
- Commitment: 10–40 hours/week
- Review AI-generated technical solutions for cloud architecture, DevOps workflows, and IT infrastructure
- Evaluate code, configurations, and system designs for correctness, security, and best practices
- Identify errors, misconfigurations, and gaps in AI-generated infrastructure guidance
- Test and validate solutions across AWS, GCP, Azure, and on-premises environments
- Provide structured feedback to improve AI accuracy in software engineering and IT domains
- Assess troubleshooting recommendations for production systems and incident response scenarios
- Work independently and asynchronously on your own schedule
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 3+ years of professional experience as a software engineer, systems administrator, DevOps engineer, or IT architect
- Hands-on experience with production systems and infrastructure troubleshooting
- Working knowledge of cloud platforms (AWS, GCP, and/or Azure)
- Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), or infrastructure-as-code tools
- Strong analytical thinking and attention to technical detail
- Clear written communication skills — able to explain complex concepts concisely
- No prior AI training experience required
- Experience with monitoring and observability tools (Datadog, Prometheus, CloudWatch)
- Knowledge of networking, security, or compliance frameworks
- Background in system design or architecture reviews
- Scripting proficiency in Python, Bash, or similar languages
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Work on cutting-edge AI projects with top research labs
- Apply your real-world engineering expertise to shape how AI understands infrastructure
- Fully remote with complete schedule flexibility
- Freelance perks: autonomy, flexibility, and global collaboration
- Potential for ongoing work and contract extension
- Exposure to advanced LLMs and how they're trained
- Submit your resume
- Complete a short technical screening
- Project matching and onboarding
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